Data Architect - Cary, NC // Fulltime // H1B/GC/USC

Role: Data Architect

Location: Cary, NC

Work Model: Day 1 onsite; hybrid schedule, Tuesday Thursday onsite

Experience: 10 15 years

Employment: Full-time

• Visa Requirements
• Visa-independent candidates:
• H-1B transfer candidates:
• H-1B transfer candidates must be able to start upon receipt of the H-1B transfer receipt notice and minimum 2 years of Gap in 6 Years of H1-B.
• Day 1 onsite is mandatory. Candidates must be available to work onsite in Cary, NC, Tuesday through Thursday.
• Candidates must be comfortable with the stated compensation range and onsite requirements before submission.
• Mandatory Skills Must-Have
• Python, PySpark, Scala and SQL strong production-level data engineering skills.
• Azure Databricks Delta Lake, Spark performance tuning, Jobs/Workflows and Unity Catalog.
• Azure data services ADLS Gen2 and Azure Data Factory (ADF).
• Lakehouse / Medallion Architecture proven experience implementing Bronze, Silver and Gold layers at enterprise scale.
• Data Pipeline Engineering metadata-driven ingestion frameworks, data transformation, data quality and large-scale pipeline optimization.
• Production AI/LLM Experience hands-on experience designing and deploying LLM-based solutions, including RAG, embeddings, retrieval and prompt engineering.
• LLM Frameworks experience with LangChain, LlamaIndex or LangGraph, plus Azure OpenAI, OpenAI or Databricks Model Serving.
• Azure DevOps / CI-CD experience automating data pipeline deployments; Terraform and Databricks Asset Bundles are highly relevant.
• Technical Leadership ability to design solutions, write production code, review code and guide data engineering teams.
• Financial services or insurance data, especially financial reconciliation, general ledger or accounting data.
• AI-driven data quality, anomaly detection and automated reconciliation.
• Knowledge graphs, ontologies, semantic layers or enterprise Text-to-SQL solutions.
• Azure security, data governance, PII protection and fine-grained access controls.
• MLOps/LLMOps, model evaluation and production AI monitoring.
  
  

Important: This is a hands-on Lead Data Engineer position, not a purely managerial or coordination role. Candidates must demonstrate recent production coding experience.